AI Glossary

A specific task performed as part of an automated workflow.

AI that can autonomously plan and execute multi-step tasks.

Application Programming Interface - how software components communicate.

The maximum amount of text an LLM can consider at once, measured in tokens.

A chatbot's ability to remember and reference earlier parts of a conversation.

Numerical representations of text that capture semantic meaning as vectors.

Identifying and extracting specific data points from text.

Providing a few examples in your prompt to guide the AI's response format.

Training a pre-trained model on specific data to customize its behavior.

LLMs triggering external actions like database queries or API calls.

Generative Pre-trained Transformer - OpenAI's family of language models.

When an AI confidently generates false or made-up information.

Connecting different software systems to work together.

Identifying what a user wants to accomplish from their message.

AI systems trained on massive text datasets to understand and generate human language.

The delay between a user's input and the AI's response.

An open-source workflow automation platform.

AI's ability to comprehend human language meaning and context.

The practice of crafting effective inputs to get desired outputs from AI models.

Retrieval-Augmented Generation - enhancing AI responses with external knowledge.

Search that understands meaning and intent, not just keyword matching.

Converting spoken audio into written text.

A setting that controls how random or deterministic an LLM's outputs are.

Converting written text into natural-sounding spoken audio.

The basic unit of text that LLMs process - roughly 4 characters or 0.75 words.

The neural network architecture that powers modern LLMs.

The event that starts an automated workflow.

A database optimized for storing and searching high-dimensional vectors (embeddings).

AI systems that understand and respond through spoken conversation.

Creating synthetic speech that mimics a specific person's voice.

Automated messages sent from apps when something happens.

An automated sequence of steps that accomplishes a business process.

Asking an AI to perform a task without providing any examples.